Papers
Wed 30 Mar 2022
239 papers
- End-to-End Table Question Answering via Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect OraclesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq GenerationEfficient LLM inference and serving → Speculative decoding
- Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated LearningLLM safety and security → Federated unlearning and poisoning
- Self-Distillation from the Last Mini-Batch for Consistency RegularizationKnowledge distillation → General knowledge distillation methods
- Monitored Distillation for Positive Congruent Depth CompletionKnowledge distillation → Detection and dense prediction distillation
- Enhanced compound-protein binding affinity prediction by representing protein multimodal information via a coevolutionary strategy
- Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
- INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs
- Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation
- Decentralized Collaborative Learning Framework for Next POI Recommendation
- Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework
- Position-based Prompting for Health Outcome Generation
- Evolutionary Programmer: Autonomously Creating Path Planning Programs based on Evolutionary Algorithms
- Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future
- Exosoul: ethical profiling in the digital world
- Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoption
- Investigating Top-k White-Box and Transferable Black-box Attack
- Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression
- A quantum learning approach based on Hidden Markov Models for failure scenarios generation
- Reproducibility Issues for BERT-based Evaluation Metrics
- Ball 3D Localization From A Single Calibrated Image
- LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings
- Generation and Simulation of Synthetic Datasets with Copulas
- Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
- VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
- Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities
- Analytic theory for the dynamics of wide quantum neural networks
- Task Adaptive Parameter Sharing for Multi-Task Learning
- Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
- Robust Disentangled Variational Speech Representation Learning for Zero-shot Voice Conversion
- Towards Differential Relational Privacy and its use in Question Answering
- MAE-AST: Masked Autoencoding Audio Spectrogram Transformer
- Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation
- Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings
- Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations
- To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo
- Face Relighting with Geometrically Consistent Shadows
- Learning the Effect of Registration Hyperparameters with HyperMorph
- Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels
- System Identification via Nuclear Norm Regularization
- PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition
- Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination
- Overcoming challenges in leveraging GANs for few-shot data augmentation
- Predicting Winners of the Reality TV Dating Show textitThe Bachelor Using Machine Learning Algorithms
- Generation of Speaker Representations Using Heterogeneous Training Batch Assembly
- Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization
- FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
- Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load
- Transformer Language Models without Positional Encodings Still Learn Positional Information
- Controllable Augmentations for Video Representation Learning
- Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes
- DDNeRF: Depth Distribution Neural Radiance Fields
- Federated Learning for the Classification of Tumor Infiltrating Lymphocytes
- TR-MOT: Multi-Object Tracking by Reference
- End-to-end Document Recognition and Understanding with Dessurt
- Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems
- A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization
- Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning
- Is Word Error Rate a good evaluation metric for Speech Recognition in Indic Languages?
- Learning Local Displacements for Point Cloud Completion
- Improving Speech Recognition for Indic Languages using Language Model
- Constrained Few-shot Class-incremental Learning
- Spatially Adaptive Online Prediction of Piecewise Regular Functions
- Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation
- Factored Adaptation for Non-Stationary Reinforcement Learning
- Code Switched and Code Mixed Speech Recognition for Indic languages
- Calibrating constitutive models with full-field data via physics informed neural networks
- Graph Refinement for Coreference Resolution
- Generating Scientific Articles with Machine Learning
- COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training
- Towards Multimodal Depth Estimation from Light Fields
- Mind the gap: Challenges of deep learning approaches to Theory of Mind
- Identification of diffracted vortex beams at different propagation distances using deep learning
- Machine Learning Approaches for Non-Intrusive Home Absence Detection Based on Appliance Electrical Use
- Large-Scale Pre-training for Person Re-identification with Noisy Labels
- Understanding 3D Object Articulation in Internet Videos
- Learning Instance-Specific Adaptation for Cross-Domain Segmentation
- CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism
- L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors
- Exploring Plain Vision Transformer Backbones for Object Detection
- CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
- Collaborative Transformers for Grounded Situation Recognition
- Unseen Classes at a Later Time? No Problem
- Fast Light-Weight Near-Field Photometric Stereo
- PromptDet: Towards Open-vocabulary Detection using Uncurated Images
- Vakyansh: ASR Toolkit for Low Resource Indic languages
- AdaMixer: A Fast-Converging Query-Based Object Detector
- An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection
- Fast, Accurate and Memory-Efficient Partial Permutation Synchronization
- Generative Spoken Dialogue Language Modeling
- Foveation-based Deep Video Compression without Motion Search
- RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds with Cross-Attention Spatio-Temporal Features
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
- Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries
- Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer Models
- Remember to correct the bias when using deep learning for regression!
- Convergence of gradient descent for deep neural networks
- Weakly supervised causal representation learning
All 239
- TubeDETR: Spatio-Temporal Video Grounding with Transformers
- Balanced MSE for Imbalanced Visual Regression
- OPD: Single-view 3D Openable Part Detection
- Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs
- The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation
- Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis
- Learning Fair Models without Sensitive Attributes: A Generative Approach
- PerfectDou: Dominating DouDizhu with Perfect Information Distillation
- Recognition of polar lows in Sentinel-1 SAR images with deep learning
- Online Motion Style Transfer for Interactive Character Control
- On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
- CardioID: Mitigating the Effects of Irregular Cardiac Signals for Biometric Identification
- Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation
- Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis
- IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset
- Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting
- Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain
- Generative Adversarial Networks for the fast simulation of the Time Projection Chamber responses at the MPD detector
- Learning multiobjective rough terrain traversability
- Optimization for Classical Machine Learning Problems on the GPU
- Multi-Robot Active Mapping via Neural Bipartite Graph Matching
- PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
- PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
- Forecasting from LiDAR via Future Object Detection
- Acoustics-specific Piano Velocity Estimation
- AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift
- An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models
- Reducing Learning Difficulties: One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control
- Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network
- FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions
- The Weak Supervision Landscape
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
- Neural Pipeline for Zero-Shot Data-to-Text Generation
- Reinforcement Learning Guided by Provable Normative Compliance
- Interpretable Vertebral Fracture Diagnosis
- Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking
- DePA: Improving Non-autoregressive Machine Translation with Dependency-Aware Decoder
- SeqTR: A Simple yet Universal Network for Visual Grounding
- Does Audio Deepfake Detection Generalize?
- How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
- Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
- Research topic trend prediction of scientific papers based on spatial enhancement and dynamic graph convolution network
- Physics Community Needs, Tools, and Resources for Machine Learning
- PP-YOLOE: An evolved version of YOLO
- InstaFormer: Instance-Aware Image-to-Image Translation with Transformer
- Co-Membership-based Generic Anomalous Communities Detection
- CycDA: Unsupervised Cycle Domain Adaptation from Image to Video
- Biclustering Algorithms Based on Metaheuristics: A Review
- Evaluation of semantic relations impact in query expansion-based retrieval systems
- Exploring ML testing in practice -- Lessons learned from an interactive rapid review with Axis Communications
- End to End Lip Synchronization with a Temporal AutoEncoder
- Hypergraphon Mean Field Games
- Phase-Aware Deep Speech Enhancement: It's All About The Frame Length
- Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection
- Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
- APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
- Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization
- Adaptive Divergence-based Non-negative Latent Factor Analysis
- Learning of Global Objective for Network Flow in Multi-Object Tracking
- Fair Contrastive Learning for Facial Attribute Classification
- Automatic Identification of Chemical Moieties
- Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation
- On the Road to Online Adaptation for Semantic Image Segmentation
- FlowFormer: A Transformer Architecture for Optical Flow
- Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval
- Dynamic Model Tree for Interpretable Data Stream Learning
- Marginalized Operators for Off-policy Reinforcement Learning
- Anticipatory Counterplanning
- Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modeling
- FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
- Symbolic music generation conditioned on continuous-valued emotions
- Rabbit, toad, and the Moon: Can machine categorize them into one class?
- AdaGrid: Adaptive Grid Search for Link Prediction Training Objective
- Recommendation of Compatible Outfits Conditioned on Style
- BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream Models
- Tampered VAE for Improved Satellite Image Time Series Classification
- Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis
- Sensor Data Validation and Driving Safety in Autonomous Driving Systems
- An Overview of Indian Language Datasets used for Text Summarization
- SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network
- A Fast Transformer-based General-Purpose Lossless Compressor
- Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version
- Preliminary experiments on thermal emissivity adjustment for face images
- Contribution of the Temperature of the Objects to the Problem of Thermal Imaging Focusing
- Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation
- Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
- Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE
- Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
- Global Tracking via Ensemble of Local Trackers
- Omni-DETR: Omni-Supervised Object Detection with Transformers
- Polarized deep diffractive neural network for classification, generation, multiplexing and de-multiplexing of orbital angular momentum modes
- STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction
- An Efficient Anchor-free Universal Lesion Detection in CT-scans
- Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models
- Learning Program Representations for Food Images and Cooking Recipes
- An Improved Greedy Algorithm for Subset Selection in Linear Estimation
- Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses
- Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention
- AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
- Understanding Graph Convolutional Networks for Text Classification
- Self-supervised 360circ Room Layout Estimation
- Automatic Facial Skin Feature Detection for Everyone
- Coarse-to-Fine Recursive Speech Separation for Unknown Number of Speakers
- Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction
- Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
- An Iterative Co-Training Transductive Framework for Zero Shot Learning
- Disentangling the Impacts of Language and Channel Variability on Speech Separation Networks
- Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
- Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE
- How Deep is Your Art: An Experimental Study on the Limits of Artistic Understanding in a Single-Task, Single-Modality Neural Network
- ReplaceBlock: An improved regularization method based on background information
- Span Classification with Structured Information for Disfluency Detection in Spoken Utterances
- Clozer: Adaptable Data Augmentation for Cloze-style Reading Comprehension
- Longitudinal Fairness with Censorship
- ITTR: Unpaired Image-to-Image Translation with Transformers
- Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data
- Prognosis of Rotor Parts Fly-off Based on Cascade Classification and Online Prediction Ability Index
- Theory of Acceleration of Decision Making by Correlated Time Sequences
- Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds
- StyleFool: Fooling Video Classification Systems via Style Transfer
- TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models
- Optimal Learning
- The Sound of Bounding-Boxes
- Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes
- Fine-Grained Object Classification via Self-Supervised Pose Alignment
- VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics
- Iterative Deep Homography Estimation
- DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation
- Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models
- Multi-scale Speaker Diarization with Dynamic Scale Weighting
- Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives
- A meta-probabilistic-programming language for bisimulation of probabilistic and non-well-founded type systems
- Deeply Interleaved Two-Stream Encoder for Referring Video Segmentation
- Federated Domain Adaptation for ASR with Full Self-Supervision
- PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation
- Using Active Speaker Faces for Diarization in TV shows
- Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature
- High-resolution Face Swapping via Latent Semantics Disentanglement
- Investigating the Properties of Neural Network Representations in Reinforcement Learning